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This paper is in the following e-collection/theme issue:

Clinical Informatics (2114) Clinical Information and Decision Making (3488) Imaging Informatics (433) Artificial Intelligence (4488) Innovations in Cancer Diagnostic and Decision Support (148) Computer-Aided Diagnosis (402) AI applications in genomics and pathology informatics, including generative AI (43) Generative Language Models Including ChatGPT (1388) AI Language Models in Health Care (676)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87193, first published .
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Multimodal Large Language Models for Cystoscopic Image Interpretation and Bladder Lesion Classification: Comparative Study

Multimodal Large Language Models for Cystoscopic Image Interpretation and Bladder Lesion Classification: Comparative Study

Authors of this article:

Yung-Chi Shih1 Author Orcid Image ;   Cheng-Yang Wu2 Author Orcid Image ;   Shi-Wei Huang2, 3 Author Orcid Image ;   Chung-You Tsai1, 3, 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Rajaee Rizi F, Jamadi M, Rahimi S, Bighamian M, Paidar P, Taki M, Bahmaie N. Multimodal artificial intelligence in urologic precision oncology: from algorithm to translational medicine (a systemized narrative review). Frontiers in Oncology 2026;16 View
  2. Farzaliyeva A, Ramazanoglu M, Oguz A, Altundag O, Akcali Z. Assessment of Large Language Models in Colorectal Cancer Multidisciplinary Tumor Board Decision-Making: A Retrospective Single-Center Comparison of Guideline-Integrated General-Purpose vs. Domain-Specialized Models. Current Oncology 2026;33(6):309 View
  3. Bayraktar A, İşler B. Beyond Visual Consensus: Tiered Reference Framework for AI Cystoscopy Studies. Journal of Medical Internet Research 2026;28:e101910 View
  4. Tsai C, Huang S. Authors’ Reply: Beyond Visual Consensus: Tiered Reference Framework for AI Cystoscopy Studies. Journal of Medical Internet Research 2026;28:e103335 View